Actuarial Analyst

  • 36510
  • Non-Life - Actuarial
  • |
  • Quebec, Canada
  • |
  • Dec 27, 2019
  • Assist in developing industry and firm-specific loss profiles for professional service firms, including the modeling of severity and frequency distributions, using our repository of large professional service firm historical loss information.
  • Assist in the review and analysis of individual firm and general industry assumptions used in determining accounting firm loss profiles.
  • Run simulation models to arrive at actuarial funding/pricing requirements, using various assumptions and approaches.
  • Support brokers by forecasting the expected premium, including a review of program structure and proposed reinsurance arrangements.
  • Run simulation models to arrive at reserving estimates, using various assumptions and approaches.
  • Assist in preparing premium funding and reserving reports for client captives.
  • Assist in developing and refining financial modeling tools.
  • Assess implications of Solvency II requirements on future funding and capital requirements.
  • Bachelor’s degree in actuarial science, mathematics, or similar relevant discipline or equivalent years of industry experience.
  • Minimum of one year of actuarial experience in property & casualty. Previous experience in consulting, brokerage and/or with long-tail liabilities is an asset.
  • Completed a minimum of four exams from the Casualty Actuarial Society.
  • Excellent English skills are required.
  • Strong math and analytical skills. Previous experience with simulation modeling is an asset.
  • Strong interpersonal skills with a positive attitude and ability to work in teams.
  • Ability to explain complex concepts in a simple and effective manner to a non-technical audience.
  • Creative and strategic thinker with ability to deliver pragmatic solutions.
  • Must clearly demonstrate competency for attention to detail.
  • Excellent organizational skills - ability to work on multiple tasks and prioritize work.
  • Proficiency with MS Office is required.
  • Experience with @Risk, VBA and/or R is an asset.